update ONNX opset version of PP-ResNet50 to 11 (opencv#37)

benchmark/config/image_classification_ppresnet.yaml

@@ -16,5 +16,5 @@ Benchmark:
 
 Model:
   name: "PPResNet"
-  modelPath: "models/image_classification_ppresnet/image_classification_ppresnet50_2021oct.onnx"
-  labelPath: "models/image_classification_ppresnet/imagenet_labels.txt"
+  modelPath: "models/image_classification_ppresnet/image_classification_ppresnet50_2022jan.onnx"
+  labelPath: "models/image_classification_ppresnet/imagenet_labels.txt"

models/image_classification_ppresnet/demo.py

@@ -21,7 +21,7 @@ def str2bool(v):
 
 parser = argparse.ArgumentParser(description='Deep Residual Learning for Image Recognition (https://arxiv.org/abs/1512.03385, https://github.com/PaddlePaddle/PaddleHub)')
 parser.add_argument('--input', '-i', type=str, help='Path to the input image.')
-parser.add_argument('--model', '-m', type=str, default='image_classification_ppresnet50_2021oct.onnx', help='Path to the model.')
+parser.add_argument('--model', '-m', type=str, default='image_classification_ppresnet50_2022jan.onnx', help='Path to the model.')
 parser.add_argument('--label', '-l', type=str, default='./imagenet_labels.txt', help='Path to the dataset labels.')
 args = parser.parse_args()
 
@@ -39,4 +39,4 @@ def str2bool(v):
     result = model.infer(image)
 
     # Print result
-    print('label: {}'.format(result))
+    print('label: {}'.format(result))